| Construction of electric vehicle driving cycle for studying electric vehicle energy consumption and equivalent emissions X Zhao, Y Ye, J Ma, P Shi, H Chen Environmental Science and Pollution Research 27, 37395-37409, 2020 | 168 | 2020 |
| Development of a representative urban driving cycle construction methodology for electric vehicles: A case study in Xi’an X Zhao, X Zhao, Q Yu, Y Ye, M Yu Transportation Research Part D: Transport and Environment 81, 102279, 2020 | 165 | 2020 |
| Development of a Representative EV Urban Driving Cycle Based on ak‐Means and SVM Hybrid Clustering Algorithm X Zhao, Q Yu, J Ma, Y Wu, M Yu, Y Ye Journal of Advanced Transportation 2018 (1), 1890753, 2018 | 74 | 2018 |
| Developing an electric vehicle urban driving cycle to study differences in energy consumption X Zhao, J Ma, S Wang, Y Ye, Y Wu, M Yu Environmental Science and Pollution Research 26, 13839-13853, 2019 | 64 | 2019 |
| A comparative study of 13 deep reinforcement learning based energy management methods for a hybrid electric vehicle H Wang, Y Ye, J Zhang, B Xu Energy 266, 126497, 2023 | 54 | 2023 |
| Application of a new type of lithium‑sulfur battery and reinforcement learning in plug-in hybrid electric vehicle energy management Y Ye, J Zhang, S Pilla, AM Rao, B Xu Journal of Energy Storage 59, 106546, 2023 | 34 | 2023 |
| An imitation learning-based energy management strategy for electric vehicles considering battery aging Y Ye, H Wang, B Xu, J Zhang Energy 283, 128537, 2023 | 21 | 2023 |
| Composite braking AMT shift strategy for extended-range heavy commercial electric vehicle based on LHMM/ANFIS braking intention identification X Zhao, S Xu, Y Ye, M Yu, G Wang Cluster Computing 22, 8513-8528, 2019 | 21 | 2019 |
| Driving cycle electrification and comparison Y Ye, X Zhao, J Zhang Transportation Research Part D: Transport and Environment 123, 103900, 2023 | 12 | 2023 |
| Reinforcement learning-based energy management system enhancement using digital twin for electric vehicles Y Ye, B Xu, J Zhang, B Lawler, B Ayalew 2022 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-6, 2022 | 12 | 2022 |
| A fast Q-learning energy management strategy for battery/supercapacitor electric vehicles considering energy saving and battery aging Y Ye, J Zhang, B Xu 2021 International Conference on Electrical, Computer and Energy …, 2021 | 11 | 2021 |
| On the effective speed control characteristics of a truck escape ramp based on the discrete element method X Zhao, P Liu, Q Yu, P Shi, Y Ye IEEE Access 7, 80366-80379, 2019 | 11 | 2019 |
| Vehicle sideslip angle estimation based on SVD-UPF algorithm S Wang, Q Yu, X Zhao, S Zhang, Y Ye Journal of Intelligent & Fuzzy Systems 37 (4), 4563-4573, 2019 | 8 | 2019 |
| FlexNet: A warm start method for deep reinforcement learning in hybrid electric vehicle energy management applications H Wang, Z Arjmandzadeh, Y Ye, J Zhang, B Xu Energy 288, 129773, 2024 | 7 | 2024 |
| Deep reinforcement learning-based energy management system enhancement using digital twin for electric vehicles Y Ye, B Xu, H Wang, J Zhang, B Lawler, B Ayalew Energy 312, 133384, 2024 | 3 | 2024 |
| Application of a new type of Lithium-Sulfur battery in plug-in hybrid electric vehicle cruise control Y Ye, J Zhang, S Pilla, AM Rao Accessed: Oct 1, 2021 | 3 | 2021 |
| Research on Reminder Sign Setting of Auxiliary Deceleration Lane Based on Short-Term Memory Characteristics M Yu, Y Ye, X Zhao CICTP 2020, 2271-2277, 2020 | 1 | 2020 |
| Reinforcement Learning-Based Energy Management for Electric Vehicle Application Y Ye Clemson University, 2024 | | 2024 |
| A Reconfigurable Battery Topology for Cell Balancing Y Ye, J Zhang SAE Technical Paper, 2023 | | 2023 |
| Automated Expert Knowledge-Based Deep Reinforcement Learning Warm Start via Decision Tree for Hybrid Electric Vehicle Energy Management H Wang, Z Arjmandzadeh, Y Ye, J Zhang, B Xu SAE International Journal of Electrified Vehicles 13 (14-13-01-0006), 49-61, 2023 | | 2023 |
Jiangfeng ZhangClemson UniversityDirección de correo verificada de clemson.edu